In this experiment I will focus on unearthing seasonal trends in musical listenership. Using as large a slice as possible of the most popular song on Spotify on any given day of the year (if possible over the past several years to further increase the data I have to work with), I will attempt to quantify trends in genre, artist, song length, and any other statistic I where such a trend could be reasonably extrapolated.
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Placeholder commentary: Bar graphs for genre, song length, bpm, valence, and other general analyses to pin down the distributions that exist in the dataset as a whole, as a prelude to finding seasonal trends.
Placeholder commentary: The same barplots as before, but now with time on the x axis. Steps (ie days per bin) to be determined by distribution of results to best show off trends.